Abstract
Performance evaluation of protocols and mechanisms in wireless networks require a good representation of client mobility. The number of mobility models has been developed, to emulate the changes of location in time of mobile wireless devices in communication networks, such as e.g. mobile phones, tablets, netbooks, palmtops.Mobility models are used to verify the protocols and algorithms developed for wireless networks in simulation and using analytical tools. The mobility patterns of such devices converges with human movement patterns, as the mobile devices bearers. Among many propositions of human mobility modeling in the literature this paper presents and reviews techniques which are most commonly used or that give very good estimation of actual mobile device bearer behavior. The models are divided into 3 groups: random, social and hybrid.
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References
Atkinson, R.P.D., Rhodes, C.J., Macdonald, D.W., Anderson, R.M.: Scale-free dynamics in the movement patterns of jackals. Oikos 98(1), 134–140 (2002)
Bai, F., Helmy, A.: A survey of mobility modeling and analysis in wireless adhoc networks. In: Wireless Ad Hoc and Sensor Networks, ch. 1. Kluwer Academic Publishers (2004)
Bettstetter, C., Hartenstein, H., Pérez-Costa, X.: Stochastic properties of the random waypoint mobility model: Epoch length, direction distribution, and cell change rate. In: Proceedings of the 5th ACM International Workshop on Modeling, Analysis, and Simulation of Wireless and Mobile Systems (MSWiM), pp. 7–14. ACM (2002)
Birand, B., Zafer, M., Zussman, G., Lee, K.-W.: Dynamic graph properties of mobile networks under levy walk mobility. In: Proceedings of the 8th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS 2011), pp. 292–301. IEEE Computer Society (2011)
Boldrini, C., Conti, M., Passarella, A.: Users mobility models for opportunistic networks: the role of physical locations. In: Proceedings of the IEEE Wireless Rural and Emergency Communications Conference, WRECOM 2007 (2007)
Boldrini, C., Passarella, A.: HCMM: Modelling spatial and temporal properties of human mobility driven by users social relationships. Computer Communications 33(9), 1056–1074 (2010)
Borrel, V., Legendre, F., de Amorim, M.D., Fdida, S.: SIMPS: Using sociology for personal mobility. IEEE/ACM Transactions on Networking 17(3), 831–842 (2009)
Brockmann, D.D., Hufnagel, L., Geisel, T.: The scaling laws of human travel. Nature 439, 462–465 (2006)
Camp, T., Boleng, J., Davies, V.: A survey of mobility models for ad hoc network research. Wireless Communication & Mobile Computing 2(5), 483–502 (2002)
Ekman, F., Keränen, A., Karvo, J., Ott, J.: Working day movement model. In: Proceedings of 1st ACM/SIGMOBILE Workshop on Mobility Models for Networking Research (MobilityModels 2008), pp. 33–40. ACM (2008)
González, M.C., Hidalgo, C.A., Barabási, A.L.: Understanding individual human mobility patterns. Nature 453, 779–782 (2008)
Humphries, N.E., Weimerskirch, H., Queiroz, N., Southall, E.J., Sims, D.W.: Foraging success of biological levy flights recorded in situ. Proceedings of the National Academy of Sciences of the United States of America 109(19), 7169–7174 (2012)
Karagiannis, T., Le Boudec, J.Y., Vojnović, M.: Power law and exponential decay of inter contact times between mobile devices. In: Proceedings of the 13th Annual ACM International Conference on Mobile Computing and Networking (MobiCom 1997), pp. 183–194. ACM (2007)
Lee, K., Hong, S., Kim, S.J., Rhee, I., Chong, S.: SLAW: Self-similar least-action human walk. IEEE/ACM Transactions on Networking 20(2), 515–529 (2010)
Musolesi, M., Hailes, S., Mascolo, C.: An ad hoc mobility model founded on social network theory. In: Proceedings of the 7th ACM International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM 2004), pp. 20–24. ACM (2004)
Papageorgiou, C., Birkos, K., Dagiuklas, T., Kotsopoulos, S.: An obstacle-aware human mobility model for ad hoc networks. In: Proceedings of the 17th IEEE/ACM International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2009), pp. 1–9. IEEE (2009)
Ramos-Fernandez, G., Mateos, J.L., Miramontes, O., Cocho, G., Larralde, H., Ayala-Orozco, B.: Lévy walk patterns in the foraging movements of spider monkeys. Behavioral Ecology and Sociobiology 55(3), 223–230 (2004)
Rhee, I., Lee, K., Hong, S., Kim, S.J., Chong, S.: Demystifying the levy-walk nature of human walks. Tech. rep., CS Dept., NCSU, Raleigh, NC (2008)
Rhee, I., Shin, M., Hong, S., Lee, K., Chong, S.: On the levy-walk nature of human mobility: Do humans walk like monkeys? IEEE/ACM Transactions on Networking 19(3), 630–643 (2011)
Roy, R.R.: Handbook of Mobile Ad Hoc Networks for Mobility Models. Springer (2011)
Sims, D.W., Southall, E.J., Humphries, N.E., Hays, G.C., Bradshaw, C.J.A., et al.: Scaling laws of marine predator search behaviour. Nature 451(7182), 1098–1102 (2008)
Song, C., Qu, Z., Blumm, N., Barabási, A.L.: Limits of predictability in human mobility. Science 327(5968), 1018–1021 (2010)
Yoon, J., Liu, M., Noble, B.: Random waypoint considered harmful. In: Proceedings of the 22nd Annual Joint Conference of the IEEE Computer and Communications (INFOCOM 2003), vol. 2,pp. 1312–1321. IEEE (2003)
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Gorawski, M., Grochla, K. (2014). Review of Mobility Models for Performance Evaluation of Wireless Networks. In: Gruca, D., Czachórski, T., Kozielski, S. (eds) Man-Machine Interactions 3. Advances in Intelligent Systems and Computing, vol 242. Springer, Cham. https://doi.org/10.1007/978-3-319-02309-0_62
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DOI: https://doi.org/10.1007/978-3-319-02309-0_62
Publisher Name: Springer, Cham
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